Machine learning divides into two categories mainly,
1. Supervised Learning
2. Unsupervised Learning
Supervised Learning
Main scenarios of doing the Supervised learning,
1. Classification
2. Prediction
3. Sequence Prediction
Main methods of doing the Supervised Learning
1. Nearest Neighbors
2. Logistic Regression
3. Support Vector Machine
4. Random Forest
5. Naive Bayes
6. Neural Networks
Choosing the method to do the learning, change the mindset not to ask "How" and "Why",
but to ask "Does it work?"
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